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# Software Engineer

- **Company:** Genius Ai Technology
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Code Review, Software Debugging, Protocol Buffers, PostgreSQL, Machine Learning, Systems Development Life Cycle, Software Engineering, TypeScript, ReactJS, Reliability of Systems, Kotlin, Kubernetes, React Native, React Redux, Terraform, Grpc
- **Published:** October 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-all-levels-san-francisco-ca--c28c6e64-9022-45e3-a105-6796a4ad75c4

## About the Role

* 2+ years of professional software engineering experience, with demonstrated ownership of production systems, not just contributions to a team that owned them
 * You use AI to architect, debug, write, and review code, and youve shipped AI-powered features or systems, not just used AI-assisted editors
 * Move fast and make decisions: you dont wait for a fully scoped ticket to start thinking, youd rather ship something real and iterate than spend weeks perfecting a plan
 * Strong analytical instincts for efficiency, scalability, and system reliability, you think about what breaks at scale before it breaks in production
 * Entrepreneurial ownership mindset, you treat the problems youre assigned as yours to solve, not tasks to complete
 * Collaborative by default, you make the engineers around you better, not just the code you personally write, Analysis Skills, Artificial Intelligence (AI), Code Reviews, Debugging Skills, Employee Benefits, Fitness, Flexible Spending Accounts, Interviewing Skills, Inventory Management, Large-Scale Systems, Machine Learning, Marketing, People Management, Product Engineering, Psychiatry and Mental Health, Sales Management, Scalable System Development, Software Engineering, Systems Reliability, Systems Scalability, Team Player, Technical/Engineering Design

## Description

Genius AI is building an agentic workforce: AI systems that act on behalf of appointment-based business owners, not just assist them. The engineers who join now will be the ones who architect it. Were hiring across two paths: product engineers who work at the intersection of AI capabilities and customer problems, shipping the features that put agentic tools directly in front of the businesses we serve; and platform engineers who build the scalable, reliable infrastructure that makes those AI products possible in the first place. Whichever path youre on, the expectation is the same: you build with AI as the default layer underneath how you work, not a tool you reach for occasionally.

You must be commutable to our San Francisco office in SOMA and will operate in a hybrid environment. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What We Work With

Were open to engineers with different language backgrounds who are excited to grow. Our current stack:

 * Kotlin (Micronaut, jOOQ), gRPC, protobuf
 * TypeScript / JavaScript (React, Redux)
 * React Native
 * AWS, Kubernetes, Postgres, Terraform
 * Linear

What Youll Do

 * Architect and ship AI-powered features that change how service businesses operate: not wrappers around existing tools, but net-new capabilities that werent possible before
 * Build and maintain large-scale systems that process billions in payments and serve 120,000+ businesses, with reliability and performance as non-negotiables
 * Use AI to architect, debug, write, and review code, and hold a higher bar for your own output because of it
 * Own your work end to end: from technical design through production, with full accountability for what you ship and how it performs
 * Build the platform infrastructure that lets product teams move faster: scalable, extensible systems that remove friction rather than create it
 * Challenge how we build: when you see a faster path or a better architecture, youre expected to make the case and drive it